View source: R/image_analysis_classification.R
wbt_generalize_classified_raster | R Documentation |
Generalizes a raster containing class or object features by removing small features.
wbt_generalize_classified_raster(
input,
output,
min_size = 4,
method = "longest",
wd = NULL,
verbose_mode = NULL,
compress_rasters = NULL,
command_only = FALSE
)
input |
Name of the input raster image file. |
output |
Name of the output raster file. |
min_size |
Minimum feature size, in grid cells. |
method |
Grouping method; one of 'longest' (default), 'largest', and 'nearest'. |
wd |
Changes the working directory. Default: |
verbose_mode |
Sets verbose mode. If verbose mode is |
compress_rasters |
Sets the flag used by 'WhiteboxTools' to determine whether to use compression for output rasters. Default: |
command_only |
Return command that would be executed by |
Returns the tool text outputs.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.